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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/2425

Google™ Scholar. Others By: Delgado, Miguel A. - Robinson, Peter M.
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Title: Optimal Spectral Bandwidth for Long Memory
Author(s): Delgado, Miguel A. [delgado]
Robinson, Peter M.
Publisher: International Chinese Statistical Association
Issued date: 1996
Citation: Statistica Sinica. 1996, vol. 6, nº 1, p. 97-112
URI: http://hdl.handle.net/10016/2425
ISSN: 1017-0405
Abstract: For long range dependent time series with a spectral singularity at frequency zero, a theory for optimal bandwidth choice in non-parametric analysis of the singularity was developed by Robinson (1994a). In the present paper, the optimal bandwidths are compared with those in case of a smooth spectrum. They are also analysed in case of fractional ARIMA models and calculated as a function of the self similarity parameter in some special cases. Feasible data-dependent approximations to the optimal bandwidth are proposed. We also include some applications using real data
Review: PeerReviewed
Publisher version: http://www3.stat.sinica.edu.tw/statistica/j6n1/j6n16/j6n16.htm
Keywords: long range dependece
spectrum
self simirality parametri
semiparametric stimation
optimal bandwidth choice
ARFIMA models
Appears in Collections:DE - Artículos de Revistas
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